Enforce governance. Capture evidence. Accelerate compliant releases.

Define safety, privacy, and fairness rules as declarative, versioned code that lives alongside your model artifacts and CI/CD pipelines. Edit, diff, and audit every policy change.

Prevent unsafe releases before they reach production. Policy gates evaluate model artifacts in your CI/CD pipeline and block deployments that violate configured rules.

Detect drift, bias, and anomalous outputs in production with ML detectors. Continuous runtime checks capture evidence snapshots and trigger remediation workflows.

Agents automatically inventory models, datasets, and pipelines across clouds and MLOps tools. Trace lineage from data source to deployed model with full provenance.

Generate audit-ready evidence bundles that tie policies to observability data and model artifacts. Write-once storage anchors provenance for regulatory review.

Quantify distributional change with numeric drift scores and detect demographic skew with bias detectors. Actionable metrics with window context, not qualitative guesses.